wjyalx

wjyalx's Stars

• xinychen/tensor-book

  张量计算系列教程 (Tensor Computations Tutorials)

  927

• stefaniafresca/DL-ROM-Meth

  Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10915-021-01462-7.

  Language:Python199

• yifanc96/NonLinPDEs-GPsolver

  Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes

  Language:Jupyter Notebook313

• levimcclenny/SA-PINNs

  Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]

  Language:Python16336

• Visualize-ML/Book5_Essentials-of-Probability-and-Statistics

  Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！

  Language:Jupyter Notebook2.8k578

• abhishekkrthakur/approachingalmost

  Approaching (Almost) Any Machine Learning Problem

  7.2k1k

• pfabo/pse-pyQt

  Python & Simulator & Editor, Version pyQt (no longer supported)

  Language:Python2

• flet-dev/flet

  Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required.

  Language:Python10.7k417

• jdtoscano94/Learning-Scientific_Machine_Learning_Residual_Based_Attention_PINNs_DeepONets

  Physics Informed Machine Learning Tutorials (Pytorch and Jax)

  Language:Jupyter Notebook418161

• okada39/pinn_burgers

  Physics Informed Neural Network (PINN) for Burgers' equation.

  Language:Python5625

• ASEM000/Physics-informed-neural-network-in-JAX

  Example problems in Physics informed neural network in JAX

  Language:Jupyter Notebook675

• boschresearch/torchphysics

  Language:Jupyter Notebook38841

• googleinterns/invobs-data-assimilation

  Language:Jupyter Notebook326

• zhangqian-sh/PINN-JAX

  Implementation of PINN (JCP2019) in JAX

  Language:Python5

• flymysql/Py-Compiler

  一个用python写的编译器

  Language:Python7613

• tankwin08/waveformlidar

  waveform LiDAR data processing and analysis

  Language:R3410

• qzhe-mechanics/DataAssi-transport

  Language:Python114

• rasin-tsukuba/JAX_tutorial_Chinese_version

  Translate from: https://jax.readthedocs.io/en/latest

  Language:Jupyter Notebook404

• gordicaleksa/get-started-with-JAX

  The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

  Language:Jupyter Notebook62095

• TheAlgorithms/C-Plus-Plus

  Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

  Language:C++30k7.1k

• ucl-bug/jaxdf

  A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations

  Language:Python1177

• scaomath/galerkin-transformer

  [NeurIPS 2021] Galerkin Transformer: a linear attention without softmax for Partial Differential Equations

  Language:Python21328

• Hedgehog-Computing/hedgehog-lab

  Run, compile and execute JavaScript for Scientific Computing and Data Visualization TOTALLY TOTALLY TOTALLY in your BROWSER! An open source scientific computing environment for JavaScript TOTALLY in your browser, matrix operations with GPU acceleration, TeX support, data visualization and symbolic computation.

  Language:TypeScript2.4k142

• trekhleb/javascript-algorithms

  📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings

  Language:JavaScript187k30k

• wukekever/DGM-and-DRM

  PINN, DGM and DRM

  Language:Jupyter Notebook196

• PredictiveIntelligenceLab/Physics-informed-DeepONets

  Language:Jupyter Notebook26582

• zaxlct/python-django-learning

  🍺 python 和 diango 学习资料，书籍，文章，以及实战项目等等

  Language:Python553154

• thunil/Physics-Based-Deep-Learning

  Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

  1.7k302

• BayesWitnesses/m2cgen

  Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

  Language:Python2.8k239

• caijc00/programmer_bookshelf_cn

  📚 一个程序员的书架

  Language:Python573369